Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autorinnen und Autoren: Sun Y, Xu D, Ng DWK, Dai L, Schober R
Zeitschrift: IEEE Transactions on Communications
Jahr der Veröffentlichung: 2019
Band: 67
Heftnummer: 6
Seitenbereich: 4281 - 4298
ISSN: 0090-6778
Sprache: Englisch


Abstract

n this paper, we investigate the resource allocation algorithm design for multicarrier solar-powered unmanned aerial vehicle (UAV) communication systems. In particular, the UAV is powered by the solar energy enabling sustainable communication services to multiple ground users. We study the joint design of the 3D aerial trajectory and the wireless resource allocation for maximization of the system sum throughput over a given time period. As a performance benchmark, we first consider an off-line resource allocation design assuming non-causal knowledge of the channel gains. The algorithm design is formulated as a mixed-integer non-convex optimization problem taking into account the aerodynamic power consumption, solar energy harvesting, a finite energy storage capacity, and the quality-of-service requirements of the users. Despite the non-convexity of the optimization problem, we solve it optimally by applying monotonic optimization to obtain the optimal 3D-trajectory and the optimal power and subcarrier allocation policy. Subsequently, we focus on the online algorithm design that only requires real-time and statistical knowledge of the channel gains. The optimal online resource allocation algorithm is motivated by the off-line scheme and entails a high computational complexity. Hence, we also propose a low-complexity iterative suboptimal online scheme based on the successive convex approximation. Our simulation results reveal that both the proposed online schemes closely approach the performance of the benchmark off-line scheme and substantially outperform two baseline schemes. Furthermore, our results unveil the tradeoff between solar energy harvesting and power-efficient communication. In particular, the solar-powered UAV first climbs up to a high altitude to harvest a sufficient amount of solar energy and then descends again to a lower altitude to reduce the path loss of the communication links to the users it serves.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Schober, Robert Prof. Dr.-Ing.
Lehrstuhl für Digitale Übertragung
Sun, Yan
Lehrstuhl für Digitale Übertragung
Xu, Dongfang
Lehrstuhl für Digitale Übertragung


Einrichtungen weiterer Autorinnen und Autoren

Tsinghua University
University of New South Wales (UNSW)


Zitierweisen

APA:
Sun, Y., Xu, D., Ng, D.W.K., Dai, L., & Schober, R. (2019). Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems. IEEE Transactions on Communications, 67(6), 4281 - 4298. https://dx.doi.org/10.1109/TCOMM.2019.2900630

MLA:
Sun, Yan, et al. "Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems." IEEE Transactions on Communications 67.6 (2019): 4281 - 4298.

BibTeX: 

Zuletzt aktualisiert 2019-11-08 um 12:08